TELKOMNIKA Telecommunication, Computing, Electronics and Control
High-resolution rotor-position detection for green vehicle drives at halt condition with statistical view

TELKOMNIKA Telecommunication, Computing, Electronics and Control
High-resolution rotor-position detection for green vehicle drives at halt condition with statistical view

Halt position
Interior permanent magnet
synchronous machine
Memory and address lines
Pulse injection
Rotor position detection

Considerations around environmental pollution and green energy usage have
led to environmentally-friendly machines being used in many industrial
applications. Permanent magnet (PM) machines are the best solution to
substitute the pollutant diesel-powered machines. In such machines, rotor
position detection is crucial for safe startup operating. Meanwhile, encoderless
controllers have become more reliable, over the years, in supporting the
operation of PM machines. The key point, presented by this paper, is to
introduce an improved positioning model to detect the rotor-position of
interior permanent magnet synchronous machine at halt condition. To verify
this objective, only two short duration pulses were injected into the stator
windings. Then, the corresponding terminal voltage and current responses
were measured and employed to create two memory address lines. Thereby,
the memory cells, which contain the rotor position information, could be
accessed. This detection model makes a significant improvement in rotor
positioning detection of high resolution (1 degree) which represents lower
value than most verified results in literature. The model was simulated and
tested in a MATLAB/Simulink environment and shows an approximate
accuracy 95%. Additionally, the statistical analysis was also employed to
support the work outcomes.

Mazen M. A. Al Ibraheemi, Fatih J. Anayi, Zainb Hassan Radhy, Hayder Al Ibraheemi

http://journal.uad.ac.id/index.php/TELKOMNIKA

Nov 25, 2020

peri irawan

pdf

english

text